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Table 1 Parameter setting of PCOBA

From: A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset

Parameter

Description

Artificial dataset

Real dataset

μ

Pop. size for genes

100 (1000)

1000

ν

Pop. size for conditions.

50

100

MaxGen

Maximum generation

100 (200)

500

δ

Cutoff of residue score

20 (300)

250

w b

Controlling the variance

0.5

0.5

w v

Controlling the volume

10 (30)

30

w g

Keeping a balance between

0.9 (0.8)

0.8

w c

gene and condition

0.1 (0.2)

0.2

α, β

Controlling update of probabilities.

0.2, 0.2

0.2, 0.2

S g , S c

Size of best individuals in genes and conditions

20, 10 (200, 10)

200, 20

  1. () corresponds to Ec dataset.